Making tools freely accessible to brands and retailers for Retail Media reporting, Ad Serving integration and Agentic Commerce, built on Particular Audience’s market-leading Adaptive Transformer AI-powered search.

Particular Audience, the AI-powered retail media platform transforming product discovery and advertising, today announced the launch of the Particular Audience Open Source Suite – three developer-first tools now freely available to the global community on GitHub.

With this release, Particular Audience becomes the first major retail media vendor to open source a collection of supporting developer tools for reporting, integration, and Agentic-AI enablement. These tools are complementary to Particular Audience’s core AIaaS platform, DiscoveryOS, a managed enterprise solution powering Retail Media, personalisation, and search for leading global retailers and brands.

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The Suite Includes:

• Retail Media Reporting Tool: A versatile TypeScript-based solution for extracting and analysing campaign data, available as a CLI, SDK, or Docker deployment. Users can generate reports on impressions, clicks, conversions, SKU-level performance, placements and more.

• JavaScript SDK: A lightweight, developer-friendly SDK that enables seamless integration of Particular Audience’s recommendations, retail media, and events tracker with client websites and applications.

• Adaptive Transformer Search MCP Server: An MCP (Model Context Protocol) server providing open access for AI(s) to Particular Audience’s Adaptive Transformer Search (ATS) – an AI-powered search engine that understands customer intent, eliminates zero search results by up to 70%, increases search-driven revenue by 20%, and automates relevant Sponsored Search in an AI-compatible way.

Retail Media has traditionally required costly integrations, closed systems and heavy manual configuration. By open sourcing developer utilities around DiscoveryOS, Particular Audience is making Retail Media infrastructure more transparent, interoperable and accessible, while compounding the enterprise-grade SaaS platform that powers global retail customer experiences.

“Retail media will only reach its full potential when it is open, extensible and accessible,” said James Taylor, Founder & CEO of Particular Audience. “By sharing these supporting tools openly, we’re lowering barriers for developers, retailers and brands to adopt advanced AI-driven discovery and reporting. Our managed SaaS platform remains the backbone of DiscoveryOS – these open tools make connecting to it faster, easier, and more cost-effective.”

• For Data Teams: The Reporting Tool removes friction from campaign analytics with automated data exports and integrations.

• For Developers: The JavaScript SDK accelerates integration of retail media, personalization, and event tracking with a few lines of code.

• For Innovators: The ATS MCP Server connects cutting-edge search technology directly into MCP-enabled AI assistants and eCommerce experiences.

Together, the suite addresses the $300 billion e-commerce search and retail media problem: making campaigns easier to run, performance easier to measure, and customer discovery more intelligent and profitable.

The Particular Audience Open Source Suite is available today under the MIT Licence:

• Retail Media Reporting Tool: https://github.com/Particular-Audience/retail-media-reporting-tool

• JavaScript SDK: https://github.com/Particular-Audience/javascript-sdk

• Adaptive Transformer Search MCP Server: https://github.com/Particular-Audience/adaptive-transformer-search-mcp

Particular Audience powers personalisation and Retail Media for leading retailers and brands worldwide. Its DiscoveryOS combines AI-driven search, recommendations, and Retail Media decisioning to solve the “endless aisle” problem – ensuring the right product is shown to the right shopper at the right time. Clients include Target, The Good Guys, and Hamleys. Headquartered in London, with teams across North America, Europe, and Asia-Pacific, Particular Audience delivers hyper-personalised experiences and advertising at global scale.

For more information, visit https://particularaudience.com.